PhD Student - DL-techniques applied to safety critical systems (R1) per el Barcelona Supercomputing Center

Applications are invited for PhDs to conduct investigations on the software timing analysis solutions for the SuPerCom Project. This includes software timing in itself, understanding of contention in the access to hardware shared resources, scheduling approaches for multicore processors, and tracing/debug mechanisms.

SuPerCom is a 5-year project funded by the European Union that started in June 2018 and that involves around 10 researchers. The main objective is to propose a holistic multidisciplinary approach that addresses the challenge of providing high and sustainable performance with future embedded computers comprising high-performance hardware with unprecedented complexity levels.

This project involves research in hardware designs to improve performance predictability and machine learning techniques for embedded systems like those in automotive or space domains. Francisco J. Cazorla is the principal investigator (PI) of the project. For a complete list of publications of the PI, please visit: http://people.ac.upc.edu/fcazorla/.

Key Duties

Contribute to the research and application of AI techniques to modeling the uncertainty in embedded critical systems

Develop ensemble AI techniques to provide increased-robustness in safety critical systems specially focused on maximizing the useful diversity of the ensemble components.

Termini per aplicar: Divendres, 30 Juny, 2023

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